Competitor ad teardown and gap finder
Use when you have competitor ad copy in front of you and want to find the claim nobody is making.
Fill in before running
Replace each placeholder with your own detail. The more specific you are, the less the model invents.
- {{COMPETITOR_ADS}}
- {{MY_PRODUCT}}
- {{MY_TRUE_CLAIMS}}
- {{MARKET}}
Getting a better result
- Collect at least fifteen ads per competitor or the frequency count means nothing.
- Ignore gaps you cannot prove - an undefended claim is worse than a crowded one.
- Rerun quarterly; saturated claims shift faster than positioning does.
Questions about this prompt
When should I tear ads down rather than write a better version of theirs?
When you have collected rival copy and are about to imitate it. The instinct after reading fifteen competitor ads is to make the same claim slightly better, which puts you in the middle of a crowded auction. This counts claim frequency first, so you see which promises are saturated before you decide what to say.
What do I need before running it?
Ads pasted verbatim and labelled by advertiser, at least fifteen per competitor or the frequency count means nothing. Then {{MY_TRUE_CLAIMS}}, written strictly. That field constrains the entire gap analysis, and an inflated claims list produces a positioning statement you cannot defend the first time a prospect asks for evidence.
What comes back?
A claim map per advertiser, a frequency count of every distinct claim, the saturated claims made by three or more advertisers, the open gaps, and three positioning statements ranked by defensibility. Read the gaps against your evidence rather than against the size of the opening, since a gap is often open because nobody can prove it.
What is the mistake?
Taking the widest gap regardless of what you can prove. An undefended claim is worse than a crowded one because it invites the comparison you lose. Treat the whole thing as a snapshot as well and rerun it quarterly, since which claims are saturated shifts within a season while positioning moves far more slowly.